Monetarization of the Feasible Operation Region of Active Distribution Grids Based on a Cost-Optimal Flexibility Disaggregation
Hierarchical grid control strategies are an appropriate design concept for the coordination of future transmission system operator (TSO) and distribution system operator (DSO) interactions. Hierarchical approaches are based on the aggregation of decentralized ancillary service potentials, represente...
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description | Hierarchical grid control strategies are an appropriate design concept for the coordination of future transmission system operator (TSO) and distribution system operator (DSO) interactions. Hierarchical approaches are based on the aggregation of decentralized ancillary service potentials, represented by converter-coupled, communicable active and reactive power flexibility providing units (FPU, e.g. wind turbines) at vertical TSO/DSO system interfaces. The resulting PQ-polygon made available by the DSO for a potential request of ancillary service flexibilities by the TSO is called feasible operation region (FOR). A monetarization of the FOR is necessary for the implementation as operational degree of freedom within TSO grid control. In the context of a local DSO and global TSO market, this article presents an approach for the monetarization of the FOR by a cost structure using metadata from population based aggregation methods. At the local DSO market free bids for the active and reactive power flexibilities by the FPUs stakeholders are assumed. Within the aggregation method multiple FPU flexibility polygons at a single bus are aggregated for a reduction of the search space dimensions. Thereby, the main contribution of the proposed method is the cost-optimal disaggregation of a flexibility demand to the single FPUs within the aggregated FPU by a mixed integer linear program. The approach can be simply adapted for the coordination of DSO/DSO-interactions regarding hierarchical multi-level grid control strategies. |
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Hierarchical approaches are based on the aggregation of decentralized ancillary service potentials, represented by converter-coupled, communicable active and reactive power flexibility providing units (FPU, e.g. wind turbines) at vertical TSO/DSO system interfaces. The resulting PQ-polygon made available by the DSO for a potential request of ancillary service flexibilities by the TSO is called feasible operation region (FOR). A monetarization of the FOR is necessary for the implementation as operational degree of freedom within TSO grid control. In the context of a local DSO and global TSO market, this article presents an approach for the monetarization of the FOR by a cost structure using metadata from population based aggregation methods. At the local DSO market free bids for the active and reactive power flexibilities by the FPUs stakeholders are assumed. Within the aggregation method multiple FPU flexibility polygons at a single bus are aggregated for a reduction of the search space dimensions. Thereby, the main contribution of the proposed method is the cost-optimal disaggregation of a flexibility demand to the single FPUs within the aggregated FPU by a mixed integer linear program. The approach can be simply adapted for the coordination of DSO/DSO-interactions regarding hierarchical multi-level grid control strategies.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2022.3140871</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Agglomeration ; Ancillary services ; Convergence ; Converters ; Coordination ; Costs ; DSO/DSO-Cooperation ; feasible operation region ; Flexibility ; flexibility aggregation ; flexibility market ; Load flow ; Metadata ; Metaheuristics ; Mixed integer ; Polygons ; PQ-capability ; Reactive power ; TSO/DSO-cooperation ; Wind turbines</subject><ispartof>IEEE access, 2022, Vol.10, p.5402-5415</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-d0d5a90f61e2eb24d4e4662beb559d2ac4939742f6fcba5e19c0b91c25be83743</citedby><cites>FETCH-LOGICAL-c408t-d0d5a90f61e2eb24d4e4662beb559d2ac4939742f6fcba5e19c0b91c25be83743</cites><orcidid>0000-0001-5247-4484</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9672091$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,4010,27610,27900,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Sarstedt, Marcel</creatorcontrib><creatorcontrib>Hofmann, Lutz</creatorcontrib><title>Monetarization of the Feasible Operation Region of Active Distribution Grids Based on a Cost-Optimal Flexibility Disaggregation</title><title>IEEE access</title><addtitle>Access</addtitle><description>Hierarchical grid control strategies are an appropriate design concept for the coordination of future transmission system operator (TSO) and distribution system operator (DSO) interactions. Hierarchical approaches are based on the aggregation of decentralized ancillary service potentials, represented by converter-coupled, communicable active and reactive power flexibility providing units (FPU, e.g. wind turbines) at vertical TSO/DSO system interfaces. The resulting PQ-polygon made available by the DSO for a potential request of ancillary service flexibilities by the TSO is called feasible operation region (FOR). A monetarization of the FOR is necessary for the implementation as operational degree of freedom within TSO grid control. In the context of a local DSO and global TSO market, this article presents an approach for the monetarization of the FOR by a cost structure using metadata from population based aggregation methods. At the local DSO market free bids for the active and reactive power flexibilities by the FPUs stakeholders are assumed. Within the aggregation method multiple FPU flexibility polygons at a single bus are aggregated for a reduction of the search space dimensions. Thereby, the main contribution of the proposed method is the cost-optimal disaggregation of a flexibility demand to the single FPUs within the aggregated FPU by a mixed integer linear program. The approach can be simply adapted for the coordination of DSO/DSO-interactions regarding hierarchical multi-level grid control strategies.</description><subject>Agglomeration</subject><subject>Ancillary services</subject><subject>Convergence</subject><subject>Converters</subject><subject>Coordination</subject><subject>Costs</subject><subject>DSO/DSO-Cooperation</subject><subject>feasible operation region</subject><subject>Flexibility</subject><subject>flexibility aggregation</subject><subject>flexibility market</subject><subject>Load flow</subject><subject>Metadata</subject><subject>Metaheuristics</subject><subject>Mixed integer</subject><subject>Polygons</subject><subject>PQ-capability</subject><subject>Reactive power</subject><subject>TSO/DSO-cooperation</subject><subject>Wind turbines</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUU1v2zAMNYYVWNH2F_QiYGdnkizJ1jHzmq5AiwBtdxb0QXsKvCiTlKHdZX99ShwU5YUU-d4TiVdV1wQvCMHyy7Lvb56eFhRTumgIw11LPlTnlAhZN7wRH9_Vn6qrlDa4RFdavD2v_j2ELWQd_V-dfdiiMKD8E9AKdPJmArTeQZwnjzCeAEub_R9A33zK0Zv9cXobvUvoq07gUHlq1IeU6_Uu-196QqsJXrzxk8-vB5oexwjjUfayOhv0lODqlC-qH6ub5_57fb--veuX97UtB-XaYce1xIMgQMFQ5hgwIagBw7l0VFsmG9kyOojBGs2BSIuNJJZyA13Tsuaiupt1XdAbtYtlrfiqgvbq2AhxVDpmbydQFuuOttxw5yTTBuuWDIZrwE4YRwdTtD7PWrsYfu8hZbUJ-7gt6ysqKMGC0a4tqGZG2RhSijC8_UqwOhinZuPUwTh1Mq6wrmeWB4A3hhQtxZI0_wEsvpZi</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Sarstedt, Marcel</creator><creator>Hofmann, Lutz</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Hierarchical approaches are based on the aggregation of decentralized ancillary service potentials, represented by converter-coupled, communicable active and reactive power flexibility providing units (FPU, e.g. wind turbines) at vertical TSO/DSO system interfaces. The resulting PQ-polygon made available by the DSO for a potential request of ancillary service flexibilities by the TSO is called feasible operation region (FOR). A monetarization of the FOR is necessary for the implementation as operational degree of freedom within TSO grid control. In the context of a local DSO and global TSO market, this article presents an approach for the monetarization of the FOR by a cost structure using metadata from population based aggregation methods. At the local DSO market free bids for the active and reactive power flexibilities by the FPUs stakeholders are assumed. Within the aggregation method multiple FPU flexibility polygons at a single bus are aggregated for a reduction of the search space dimensions. Thereby, the main contribution of the proposed method is the cost-optimal disaggregation of a flexibility demand to the single FPUs within the aggregated FPU by a mixed integer linear program. The approach can be simply adapted for the coordination of DSO/DSO-interactions regarding hierarchical multi-level grid control strategies.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2022.3140871</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-5247-4484</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agglomeration Ancillary services Convergence Converters Coordination Costs DSO/DSO-Cooperation feasible operation region Flexibility flexibility aggregation flexibility market Load flow Metadata Metaheuristics Mixed integer Polygons PQ-capability Reactive power TSO/DSO-cooperation Wind turbines |
title | Monetarization of the Feasible Operation Region of Active Distribution Grids Based on a Cost-Optimal Flexibility Disaggregation |
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